def useInference(self, newInf):
if newInf == "Laplace":
self.inffunc = inf.FITC_Laplace()
elif newInf == "EP":
self.inffunc = inf.FITC_EP()
else:
raise Exception('Possible inf values are "Laplace", "EP".')
def __init__(self):
super(GPC_FITC, self).__init__()
self.meanfunc = mean.Zero() # default prior mean
self.covfunc = cov.RBF() # default prior covariance
self.likfunc = lik.Erf() # erf liklihood
self.inffunc = inf.FITC_EP() # default inference method
self.optimizer = opt.Minimize(self) # default optimizer
self.u = None # no default inducing points
def useLikelihood(self, newLik):
'''
Use another inference techinique other than default Gaussian likelihood.
:param str newLik: 'Laplace'
'''
if newLik == "Laplace":
self.likfunc = lik.Laplace()
self.inffunc = inf.FITC_EP()
else:
raise Exception('Possible lik values are "Laplace".')
def useInference(self, newInf):
'''
Use another inference techinique other than default exact inference.
:param str newInf: 'Laplace' or 'EP'
'''
if newInf == "Laplace":
self.inffunc = inf.FITC_Laplace()
elif newInf == "EP":
self.inffunc = inf.FITC_EP()
else:
raise Exception('Possible inf values are "Laplace", "EP".')
def useLikelihood(self, newLik):
if newLik == "Laplace":
self.likfunc = lik.Laplace()
self.inffunc = inf.FITC_EP()
else:
raise Exception('Possible lik values are "Laplace".')